Dataset Versions

v2

2023-11-24 11:29pm

Generated on Nov 24, 2023

Dataset Split

Train Set 89%
11673Images
Valid Set 7%
965Images
Test Set 3%
420Images

Preprocessing

Auto-Orient: Applied
Static Crop: 3-97% Horizontal Region, 5-95% Vertical Region
Resize: Stretch to 225x225
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -25% and +25%
Cutout: 3 boxes with 10% size each

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